[Graph][Fusion] Add QKVNormRope and QKVNormRopeWithBias (#5721)

### What this PR does / why we need it?
This PR builds upon PR
https://github.com/vllm-project/vllm-ascend/pull/5011 and aims to
further enhance the npu_graph_ex_passes module. Based on prior work, we
have added graph optimization support for the add_rms_quant fused
operator in scenarios where a bias term is present—ensuring the fusion
pattern is correctly registered and matched into the computation graph.

For validation, we switched to the Qwen3-235B-A22B-W8A8 model for
QKVNormRopeWithBias and Qwen3-32B model for QKVNormRope . Benchmark
results show that, compared to the unfused baseline, enabling this
fusion pass significantly improves inference throughput for W8A8
quantized models.
For more details can refer to the
RFC:https://github.com/vllm-project/vllm-ascend/issues/4715
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
```
llm = LLM(
        model=model,
        tensor_parallel_size=GPUs_per_dp_rank,
        enforce_eager=False,
        enable_expert_parallel=enable_expert_parallel,
        trust_remote_code=trust_remote_code,
        gpu_memory_utilization=0.98,
        max_num_batched_tokens=512,
        # load_format="dummy",
        max_model_len=2048,
        max_num_seqs=16,
        quantization="ascend",
        additional_config={
            "refresh": True,
            "enable_npugraph_ex": True
        },
        compilation_config={
            "cudagraph_capture_sizes": [8, 16],
            "cudagraph_mode": "FULL_DECODE_ONLY",
        },
    )
    if profile_dir:
        llm.start_profile()
    outputs = llm.generate(prompts, sampling_params)
    if profile_dir:
        llm.stop_profile()
    for i, output in enumerate(outputs):
        if i >= 5:
            break
        prompt = output.prompt
        generated_text = output.outputs[0].text
        print(
            f"DP rank {global_dp_rank}, Prompt: {prompt!r}, "
            f"Generated text: {generated_text!r}"
        )
```
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: cjian <2318164299@qq.com>
This commit is contained in:
CodeCat
2026-01-22 17:22:41 +08:00
committed by GitHub
parent f2c0ced06d
commit 1402cf6874
10 changed files with 707 additions and 474 deletions

View File

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#
# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
# This file is a part of the vllm-ascend project.
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from torch._inductor.pattern_matcher import Match
from vllm.logger import logger
def extra_stream_scope_check(match: Match) -> bool:
"""
Checks if all nodes in the same stream.
"""
non_default_streams = set()
has_default = False
for node in match.nodes:
if node.op == "call_function":
current_stream = node.meta.get("stream_label")
if current_stream is None:
has_default = True
else:
non_default_streams.add(current_stream)
if len(non_default_streams) > 1:
logger.debug(
f"Cross-stream operation detected in pattern match for AddRMSNormQuant. "
f"Multiple streams found: {non_default_streams}. "
f"Fusion is not supported for cross-stream operations."
)
return False
if has_default and len(non_default_streams) > 0:
logger.debug(
f"Cross-stream operation detected in pattern match for AddRMSNormQuant. "
f"Multiple streams found: {non_default_streams}. "
f"Fusion is not supported for cross-stream operations."
)
return False
return True